// AI news · 2026-10-28 · Hugging Face Blog
Liquid AI Launches LFM3 Multimodal Foundation Model
Liquid AI launches LFM3, a new generation of multimodal foundation models with unified backbone for text, vision, audio, and decision tasks.
Published 2026-10-28 01:16 (Beijing time)Source Hugging Face BlogAuto-summarised, fact-checked against source
01Summary
All models are 2B-parameter and designed for on-device fine-tuning and deployment. LFM3-1.7B-Base features a tri-hybrid architecture with improved parameter efficiency and long-context performance. Vision and audio models include new in-house encoders that reduce compute by up to 3x while maintaining or improving accuracy.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- LFM3 offers unified backbone for text, vision, audio, and decision modalities at 2B parameters.
- LFM3-1.7B-Base achieves 35% better parameter efficiency with 25% faster long-context inference.
- New in-house encoders reduce video processing compute by 3x and enable 50ms audio latency and 87x real-time decoding.
- All models branch from LFM3-1.7B-Base, enabling domain-specific fine-tuning for on-device agents.
03Source
Build specialized multimodal models with LFM3
Hugging Face Blog · published 2026-10-28 01:16 Beijing time
Also reported by 2 other outlets
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